The ENVI Fundamentals training is designed to teach the basics of ENVI remote sensing software for processing and analyzing geospatial imagery. It focuses on equipping users with the skills to use ENVI's suite of tools for scientific, evidence-based imagery analysis. The 8 modules help to quickly improve skills in remote sensing for applications such as environmental monitoring and land cover analysis.
Core Components:
- Interface and Visualization: Navigating the ENVI interface to display and interact with imagery, manage multiple datasets, and understand file formats.
- Image Processing Fundamentals: Key skills include image enhancement, mosaicking, and atmospheric correction.
- Feature Extraction and Analysis: Techniques for identifying, classifying, and extracting specific features from imagery, including supervised and unsupervised classification.
- Geospatial Workflows: Applying tools to solve specific problems, such as change detection or time series analysis.
- Workflow Automation: Learning how to use ENVI's built-in tools to automate analysis tasks.
Learning outcomes
After this course, you will be able to:
- Navigate and use the ENVI interface to visualize, manage, and explore multispectral imagery.
- Interpret image data, metadata, and statistics to understand spatial and spectral patterns.
- Preprocess imagery using mosaicking, subsetting, and atmospheric correction.
- Create vegetation indices and analyze environmental and land-cover conditions.
- Perform change detection and time-series analysis to assess spatial and temporal trends.
- Apply and evaluate supervised and unsupervised image classification methods.
- Automate and publish reusable analysis workflows using the ENVI Modeler.